Detection of unauthorized devices on atms

ABSTRACT

The disclosed embodiments include methods and systems for detecting ATM skimmers, other unauthorized devices, such as hidden video cameras or keypad overlays, and/or possible damage to the ATM based upon radio frequency (RF) signal emitted from the ATM and/or 3D image analysis.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Provisional Application No.61/932,311, filed on Jan. 28, 2014, and U.S. Provisional Application No.61/982,991, filed on Apr. 23, 2014, the disclosures of which are herebyincorporated in their entireties.

TECHNICAL FIELD

The present disclosure relates generally to methods and systems fordetecting unwanted electronic devices and, more particularly, to methodsand systems for detecting automated teller machine (“ATM”) skimmers,unauthorized video cameras, keypad overlays, and/or other unauthorizeddevices.

BACKGROUND

An ATM is an electronic device that allows banking customers to carryout financial transactions without the need for a human teller. Forexample, customers may use an ATM to access their bank accounts,deposit, withdraw, or transfer funds, check account balances, ordispense items of value. Generally, to use an ATM, the customer mayinsert a banking card containing magnetic stripe information into theATM's card reader, and authenticate the card by entering a personalidentification number (PIN). After the card has been read andauthenticated, the customer can carry out various financialtransactions.

While ATMs are convenient, their use can also be risky. Thieves havebeen known to attach devices known as “skimmers” on or adjacent to ATMsto capture the card information and PINs entered by the customer. Theseskimmers can remain on the ATM for an extended period of time prior todetection, and are sometimes constructed to match the visual appearanceof the ATM's card reader. Thus, the customer is unable to determinewhether the device is a skimmer or part of the ATM itself. Skimmers mayalso be used in conjunction with video cameras designed to record thecustomers' PINs or other entered account data. The video cameras areoften hidden and/or designed to blend in with the appearance ATM so thata customer is unable to detect anything out of the ordinary. Skimmersmay also be used in conjunction with a keypad overlay placed on top ofthe ATM's keypad. The keypad overlay contains circuitry that records thenumbers that customers type as they enter their PINs. The keypadoverlays, however, are typically designed to blend in with theappearance of the ATM, making them difficult for customers to detect.

To combat these unauthorized devices, bank employees often conductperiodic visual reviews of the ATM's appearance. However, these visualreviews are error prone (sometimes the skimmer, video camera, and/orkeypad overlay is not found), labor intensive, time consuming, andexpensive. Accordingly, a need exists to detect these unauthorizeddevices quickly and inexpensively and thus mitigate the risk of thecompromise of a customer's card data.

BRIEF SUMMARY

The disclosed embodiments include methods, systems, and non-transitorycomputer-readable storage media for detecting ATM skimmers based uponradio frequency (RF) signals emitted from the ATM. In one aspect, thedisclosed embodiments include a system for detecting ATM skimmersincluding a memory storing instructions and one or more processors thatexecute the instructions to perform one or more operations for detectingATM skimmers. The operations may include, for example, receiving radiofrequency (RF) signal data corresponding to one or more detected RFsignals emitted by an ATM and/or other electronic device and detected byan antenna located within communication range of the ATM. The operationsmay also include determining one or more unidentified RF signals of thedetected ATM RF signals that differ from one or more baseline RFsignals. The operations may also include determining whether the one ormore unidentified RF signals are present for a predetermined period oftime, and determining whether a skimmer is present at the ATM based on adetermination that the one or more unidentified RF signals are presentfor the predetermined period of time.

The disclosed embodiments may also include a computer-implemented methodfor detecting ATM skimmers. In one aspect, the method may includereceiving radio frequency (RF) signal data corresponding to one or moredetected RF signals emitted by an ATM and detected by an antenna locatedwithin communication range of the ATM. The method may also includedetermining one or more unidentified RF signals of the detected ATM RFsignals that differ from one or more baseline RF signals. The method mayalso include determining whether the one or more unidentified RF signalsare present for a predetermined period of time, and determining whethera skimmer is present at the ATM based on a determination that the one ormore unidentified RF signals are present for the predetermined period oftime.

The disclosed embodiments may also include a non-transitorycomputer-readable storage medium. In one aspect, the non-transitorycomputer-readable storage medium may be encoded with instructions which,when executed on a processor, perform a method. The method may includereceiving radio frequency (RF) signal data corresponding to one or moredetected RF signals emitted by an ATM and detected by an antenna locatedwithin communication range of the ATM. The method may also includedetermining one or more unidentified RF signals of the detected ATM RFsignals that differ from one or more baseline RF signals. The method mayalso include determining whether the one or more unidentified RF signalsare present for a predetermined period of time, and determining whethera skimmer is present at the ATM based on a determination that the one ormore unidentified RF signals are present for the predetermined period oftime.

The disclosed embodiments include methods, systems, and non-transitorycomputer-readable storage media for detecting unauthorized deviceslocated on and/or possible damage to an ATM based upon 3D image analysisof the ATM. In certain embodiments, a system for detecting unauthorizeddevices on an ATM may comprise a memory storing instructions and one ormore processors that execute the instructions to perform one or moreoperations for detecting unauthorized devices on the ATM. The operationsmay comprise capturing 3D image data for the ATM, wherein the 3D imagedata comprises shape data for the ATM, determining one or moredifferences between the detected shape data and baseline shape data forthe ATM, comparing the location of the determined one or ore differencesto known locations for unauthorized devices, and determining whether anunauthorized device is present at the ATM based on a determination thatthe one or more differences are located at a known location forunauthorized devices. In certain embodiments the 3D image data iscaptured when motion is not detected near the ATM. In certainembodiments the operations may further include determining whether theunauthorized device is a known authorized device based on a comparisonof the detected shape data to the shape data of a known unauthorizeddevice and may include storing the shape data for the unauthorizeddevice in a memory when it is determined that the shape data does notmatch the shape data of a known device. The operations may also includegenerating an alert when it is determined that an unauthorized device ispresent at the ATM, wherein the alert may comprise a location of theATM.

The disclosed embodiments include methods, systems, and non-transitorycomputer-readable storage media for detecting unauthorized devices,including skimmers, located on and/or possible damage to an ATM basedupon RF signals and 3D image analysis of the ATM. In certainembodiments, a system for detecting such unauthorized devices and/orpossible damage may comprise a memory storing instructions and one ormore processors that execute the instructions to perform one or moreoperations for detecting unauthorized devices and/or possible damage.The operations may include receiving RF signal data corresponding to oneor more detected RF signals emitted by an ATM and detected by an antennalocated within communication range of the ATM, determining one or moreunidentified RF signals of the detected ATM RF signals that differ fromone or more baseline RF signals, determining whether the one or moreunidentified RF signals are present for a predetermined period of time,and determining whether a potential skimmer is present at the ATM basedon a determination that the one or more unidentified RF signals arepresent for the predetermined period of time. The operations may alsoinclude capturing 3D image data for the ATM, wherein the 3D image datacomprises shape data for the ATM, determining one or more differencesbetween the detected shape data and baseline shape data for the ATM,comparing the location of the determined one or more differences toknown locations for unauthorized devices, determining whether apotential unauthorized device is present at the ATM based on adetermination that the one or more differences is located at a knownlocation for unauthorized devices, and generating an alert if when isdetermined that a potential skimmer and a potential unauthorized deviceis present at the ATM.

It is to be understood that both the foregoing general description andthe following detailed description are exemplary and explanatory onlyand are not restrictive of the disclosed embodiments, as claimed.Further features and/or variations may be provided in addition to thoseset forth herein. For example, disclosed embodiments may be directed tovarious combinations and subcombinations of the disclosed featuresand/or combinations and subcombinations of several further featuresdisclosed below in the detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute partof this specification, illustrate various embodiments and together withthe description, serve to explain one or more aspects of the disclosedembodiments. In the drawings:

FIG. 1 is a block diagram of exemplary skimmer RF detection system 100consistent with disclosed embodiments.

FIG. 2 is a block diagram of exemplary skimmer RF detection server 130consistent with disclosed embodiments.

FIG. 3 is a flow chart demonstrating exemplary process 300 for detectingATM skimmers based on RF detection consistent with disclosedembodiments.

FIG. 4 is a flow chart demonstrating exemplary RF signal analysisprocess 400 consistent with disclosed embodiments.

FIG. 5 is a block diagram of exemplary unauthorized device detectionsystem 500 consistent with disclosed embodiments.

FIG. 6 is a block diagram of exemplary unauthorized device detectionserver 530 consistent with disclosed embodiments.

FIG. 7 is a flow chart demonstrating exemplary process 700 for detectingunauthorized devices on ATMs based on 3D image analysis consistent withdisclosed embodiments.

FIG. 8 is a flow chart demonstrating exemplary 3D image analysis process800 consistent with disclosed embodiments.

FIG. 9 is a block diagram of exemplary combined RF/3D unauthorizeddevice detection system 900 consistent with disclosed embodiments.

FIG. 10 is a block diagram of exemplary combined RF/3D detection server930 consistent with disclosed embodiments.

FIG. 11 is a flow chart demonstrating exemplary process 1100 fordetecting unauthorized devices on ATMs, including ATM skimmers, and/orpossible damage to ATMs based on RF and 3D detection consistent withdisclosed embodiments.

FIG. 12 is a flow chart demonstrating exemplary process 1200 fordetecting unauthorized devices on ATMs, including ATM skimmers, and/orpossible damage to ATMs based on 3D and RF detection consistent withdisclosed embodiments.

DETAILED DESCRIPTION

The following detailed description refers to the accompanying drawings.Wherever possible, the same reference numbers are used in the drawingsand the following description to refer to the same or similar parts,While several exemplary embodiments and features of the disclosedembodiments are described herein, modifications, adaptations, and otherimplementations are possible, without departing from the spirit andscope of the disclosed embodiments. Accordingly, the following detaileddescription does not limit the disclosed embodiments. Instead, theproper scope of the disclosed embodiments may be defined by the appendedclaims.

Almost all electronic devices emit radio frequency (“RF”) signalsincidental to their operation. Thus, the disclosed embodiments may usethese incidental RF emissions to detect skimmer devices present on ATMs.To this end, an exemplary system may be configured to determine one ormore baseline RF signals associated with an ATM, detect RF signals nearthe ATM, and/or determine any differences between the baseline RFsignals and the detected RF signals. The system may also determinewhether a skimmer is present based on the detected RF signals. Forexample, the system may compare the detected RF signals to datacontained in a known skimmer emissions database to determine whether thedetected RF signals match any known ATM skimmers. As another example,the system may also determine that a skimmer is present based on thenumber and type of detected RF emissions in various frequency rangesand/or the period of time that the particular RF emissions are detected.As yet another example, the system may also detect increases in ambientRF noise levels that are not clearly confined to specific frequencies.The system may also include multiple receiving antennas to enable adirectional read of the source of the RF emissions to reduce falsepositives.

FIG. 1 is a block diagram of exemplary skimmer RF detection system 100consistent with disclosed embodiments. System 100 may be implemented ina number of different configurations without departing from the scope ofthe disclosed embodiments. In the embodiment shown in FIG. 1, system 100may include an antenna 110 adapted to detect one or more RF signals 115and a receiver 120 that receives the RF signals detected by antenna 110and converts those signals to digital data. System 100 may also includea skimmer RF detection server 130 that may be configured to demodulatethe digital data and analyze the demodulated data to detect whether askimmer is present on or near an ATM. System 100 may also include one ormore client terminals 140-a to 140-n, and a network 150 forinterconnecting one or more of antenna 110, receiver 120, skimmer RFdetection server 130, and client terminals 140-a to 140-n. While FIG. 1shows only one antenna 110, receiver 120, and skimmer RF detectionserver 130, system 100 may include any number of antennas 110, receivers120, and skimmer RF detection servers 130.

Antenna 110 may be any type of known antenna capable of detecting RFsignals. For example, antenna 110 may be any type of commerciallyavailable wideband antenna or tunable antenna.

Receiver 120 may be any type of receiver that can receive one or morefrequencies of RF signals, and may be configured in hardware, softwareand/or some combination of hardware and software, Receiver 120 may alsoconvert the received RF signals into digital data, and send the digitaldata to one or more devices, such as skimmer RF detection server 130.Receiver 120 may also be associated with a particular ATM and may storeidentification information related to the ATM (e.g., ATM location, ATMtype, etc.) in a memory. Receiver 120 may also transmit theidentification information to skimmer RF detection server 130 using anyknown transmission method such as, for example, using one or more datapackets. In some configurations, receiver 120 may be a software definedradio (“SDR”) capable of simultaneously listening for a plurality ofdifferently modulated signals at once. Exemplary commercially availableSDRs may include RTL-SDR, Zeus ZS-1, and Flex Radio.

Skimmer RF detection server 130 may be a computing system that performsvarious functions consistent with the disclosed embodiments. In someembodiments, skimmer RF detection server 130 may be configured toprocess information received from receiver 120. For example, skimmer RFdetection server 130 may demodulate the digital data received fromreceiver 120 and perform analyses on the digital data to determinewhether a skimmer is present. As another example, skimmer RF detectionserver 130 may capture one or more data packets transmitted by receiver120 and decode the packets' raw data, such as the identificationinformation related to the ATM. Server 130 may also store the decodedraw data in memory 233, Skimmer RF detection server 130 may alsogenerate and send one or more alerts to one or more of user terminals140-a through 140-n. Certain functions that may be performed by skimmerRF detection server 130 are described in greater detail below withrespect to, for example, FIGS. 2-4.

Each user terminal 140 may be a computing system operated by a user. Inone example, user terminal 140 may be a computing device configured toperform one or more operations consistent with certain disclosedembodiments. For example, terminal 140 may be configured to generateand/or display alerts indicating that a skimmer has been detected on oneor more ATMs. Terminal 140 may be a desktop computer, a laptop, aserver, a mobile device (e.g., tablet, smart phone, etc.), and any othertype of computing device. User terminal 140 may include one or moreprocessors configured to execute software instructions stored in memory.The disclosed embodiments are not limited to any particularconfiguration of user terminal 140. For instance, as shown in FIG. 1(for simplicity, in terminal 140-a only), user terminal 140 may include,for example, a processor 142, a memory 144, a display device 146, and aninterface device 148. Processor 142 may be one or more processordevices, such as a microprocessor, or other similar processor device(s)that executes program instructions to perform various functions. Memory144 may be one or more storage devices that maintain data (e.g.,instructions, software applications, etc.) used and/or executed byprocessor 142. Display device 146 may be any known type of displaydevice that presents information to a user operating terminal 140.Interface device 148 may be one or more known interface device modulesthat facilitate the exchange of data between the internal components ofuser terminal 140 and external components, such as skimmer RF detectionserver 130. In one embodiment, interface device 148 may include anetwork interface device that allows user terminal 140 to receive andsend data to and from network 150.

Network 150 may be any type of network that facilitates communicationbetween remote components, such as skimmer RF detection server 130 andterminals 140-a to 140-n. For example, network 150 may be a local areanetwork (LAN), a wide area network (WAN), a virtual private network, adedicated intranet, the Internet, and/or a wireless network.

The arrangement illustrated in FIG. 1 is exemplary and system 100 may beimplemented in a number of different configurations without departingfrom the scope of the disclosed embodiments. For example, components 120and 130 may be connected through other communication link(s), as opposedto being connected via network 150. Further additional components may beincluded in system 100, such as a connection to other skimmer detectionsystems that may provide information to skimmer RF detection server 130.Moreover, one or more of components 110, 120, 130, 140, and/or 150 maybe included in a single device or various combinations of devices.

FIG. 2 is a block diagram of exemplary skimmer RF detection server 130consistent with disclosed embodiments. Skimmer RF detection server 130may be implemented in various ways. For example, skimmer RF detectionserver 130 may be a special purpose computer, a server, a mainframecomputer, a computing device executing software instructions thatreceive and process information and provide responses, or anycombination of those components. In one example, as shown in FIG. 2,skimmer RF detection server 130 may include a processor 231 a memory233, storage 235, a network interface 237, and input/output (I/O)devices (not shown).

Processor 231 may include one or more processors, such as knownprocessing devices, microprocessors, etc. configured to executeinstructions to perform operations. Memory 233 may include one or morestorage devices configured to store information used and/or executed byprocessor 231 to perform one or more operations related to disclosedembodiments. Storage 235 may include volatile or non-volatile, magnetic,semiconductor, tape, optical, removable, nonremovable, or any other typeof storage device or tangible computer-readable medium.

In some embodiments, memory 233 may include software instructions thatwhen executed by processor 231, perform operations consistent withdisclosed embodiments. For example, memory 233 may include softwareinstructions that when executed perform one or more skimmer detectionprocesses consistent with disclosed embodiments. In one example, memory233 may include skimmer RF detection program 232, In one embodiment,skimmer RF detection program 232 may be loaded from storage 235 oranother source component that, when executed by skimmer RF detectionserver 130 perform various procedures, operations, and/or processesconsistent with disclosed embodiments. For example, memory 233 mayinclude a skimmer RF detection program 232 that performs operations thatmay determine one or more differences between one or more baseline RFsignals and one or more detected RF signals and, based on the detecteddifferences, determine whether a skimmer is present on or near an ATM.Memory 233 may also include other programs that perform other functionsand processes, such as programs that provide communication support,Internet access, database access, and the like. Memory 233 may alsoinclude one or more interconnected information storage databases, suchas, for example, known skimmer RF database 234, unknown skimmer RFdatabase 236 and detected RF signals database 238. The informationstorage databases can by populated by any known methods. For example,skimmer RF detection server 130 may populate known skimmer RF database234 by receiving one or more database entries from another component, awireless network operator, or a user of skimmer RF detection server 130and/or terminal 140, and storing the database entries into memory 233.The database entries can contain a plurality of fields, one or more ofwhich may include information related to known skimmer devices, such as,for example, skimmer device names, the frequency or frequencies of RFsignals emitted by the skimmer device, the amplitude(s) of the RFsignals emitted by the skimmer device, one or more images of the skimmerdevice, information related to disabling the particular skimmer device,and the like. While in the embodiment shown in FIG. 2 the informationstorage databases are interconnected, each information storage databaseneed not be interconnected, Moreover, rather than separate databases,skimmer RF detection server 130 may include only one database thatincludes the data of databases 234, 236 and 238. Memory 233, inconjunction with processor 231, may also be capable of accessing,creating and/or otherwise managing data remotely through network 150.

Methods, systems, and articles of manufacture consistent with disclosedembodiments are not limited to separate programs or computers configuredto perform dedicated tasks. For example, memory 233 may be configuredwith a skimmer RF detection program 232 that performs several processeswhen executed by processor 231. For example, memory 233 may include asingle skimmer RF detection program 232 that performs the functions ofthe skimmer detection system, or skimmer RF detection program 232 couldcomprise multiple programs. Moreover, processor 231 may execute one ormore programs located remotely from skimmer RF detection server 130. Forexample, skimmer RF detection server 130 may access one or more remoteprograms that, when executed, perform functions related to disclosedembodiments.

Memory 233 may also be configured with an operating system (not shown)that performs several functions well known in the art when executed byskimmer RF detection server 130. By way of example, the operating systemmay be Microsoft Windows, Unix, Linux, Apple Computer operating systems,or some other operating system. The choice of operating system, and eventhe use of an operating system, is not critical to any embodiment.

Skimmer RF detection server 130 may include one or more I/O devices (notshown) that allow data to be received and/or transmitted by skimmer RFdetection server 130. I/O devices may also include one or more digitaland/or analog communication input/output devices that allow skimmer RFdetection server 130 to communicate with other machines and devices,such as terminals 140-a to 140-n. The configuration and number of inputand/or output devices incorporated in I/O devices may vary asappropriate for certain embodiments.

FIG. 3 is a flow chart demonstrating exemplary process 300 for detectingATM skimmers based on RF detection consistent with disclosedembodiments. In certain aspects, one or more operations of the skimmerdetection process 300 may be performed by skimmer RF detection server130. One or more operations of process 300 may be performed by othercomponents of system 100, such as receiver 120, etc. In one embodiment,skimmer RF detection server 130 may execute software instructions toperform operations of process 300 to detect one or more skimmer devicesthat may be present on one or more ATMs. In one example, antenna 110 maydetect one or more RF signals 115 emitted by one or more electronicdevices and transmit those RF signals to receiver 120 (S310). Thedetected RF signals may be signals incidentally generated by the ATM, bynon-threatening electronic devices near the ATM (such as customers'cellphones), and/or by skimmers. Receiver 120 may receive the detectedRF signals and convert those analog RF signals into digital data capableof being processed by skimmer RF detection server (S320) using any knownmethod for converting analog data within an SDR into a format usable bya demodulation component. For example, the data may be converted andoutput as I/Q data using SDR hardware. Receiver 120 may then transmitthe digital data to skimmer RF detection server 130 (S330). Receiver 120may also transmit additional data to skimmer RF detection server 130.For example, receiver 120 may access ATM identification information fromone or more internal or external memories and transmit theidentification information to skimmer RF detection server 130 via anyknown transmission method such as, for example, via one or more datapackets. The additional data may be sent separately from, or incombination with, the digital data. For example, data packets containingthe digital data and data packets containing the identificationinformation may be combined by a packet combiner and transmitted toskimmer RF detection server 130.

Skimmer RF detection server 130 may receive and store the digital datain one or more memories, such as in detected RF signals database 238 ofmemory 233. Skimmer RF detection server 130 may execute softwareinstructions that perform operations to determine whether or not askimmer is present on the ATM (S340). In one aspect, skimmer RFdetection server 130 may demodulate the digital data and analyze it inaccordance with software instructions to determine whether a skimmer ispresent. In one embodiment, for example, skimmer RF detection server 130may differentiate between RF signals generated by the ATM and/or othernon-harmful devices and those generated by a skimmer. This analysis isdescribed in further detail with respect to FIG. 4. If skimmer RFdetection server 130 determines that a skimmer is present, skimmer RFdetection server 130 may generate an alert (S350). In one embodiment,skimmer RF detection server 130 may be configured to generate andprovide an alert to one or more terminals 140-a to 140-n. In certainaspects, skimmer RF detection server 130 may be configured to generatean alert to include information associated with characteristics of theskimmer, the identity of the ATM where the skimmer as detected, etc. Incertain aspects, receiver 120 may provide identification informationassociated with the ATM that provided signals 115 detected by antenna110.

In one embodiment, skimmer RF detection server 130 may be configured todetermine the type of detected skimmer. For example, skimmer RFdetection server 130 may perform operations that determine whether thedetected skimmer has one or more characteristics that match those of aknown type of skimmer through analysis of information stored in knownskimmer RF database 234. In such instances, skimmer RF detection server130 may generate an alert such that it includes skimmer relatedinformation obtained, for example, from known skimmer RF database 234.For example, if skimmer RF detection server 130 has identified thedetected skimmer, skimmer RF detection server 130 may query knownskimmer RF database 234 to match the detected skimmer to databaseentries of known skimmers in the known skimmer RF database 234. Ifskimmer RF detection server 130 determines a match between the detectedskimmer and a database entry, skimmer RF detection server 130 maypopulate an alert template with information contained in the matchingdatabase entry and/or with information linked to the matching databaseentry. For example, in some embodiments, skimmer RF detection server 130may generate the alert such that it may include one or more images(e.g., digital picture, or the like) of the detected skimmer,information about how to remove, disable, etc. the skimmer, and thelike. In certain embodiments, if skimmer RF detection server 130 hasdetermined the detected skimmer is an unknown skimmer, skimmer RFdetection server 130 may generate information in the alert that providesdirections on how a user may populate unknown skimmer RF database 236with information related to the unknown skimmer (e.g., how to inputinformation related to detected RF signals emitted by the particularskimmer device, how to create and/or upload one or more images of theparticular skimmer device, how the user disabled the particular skimmerdevice, and the like. In certain aspects, if skimmer RF detection server130 determines that a skimmer is not present (step S340; No), skimmer RFdetection server 130 may not generate an alert (S360).

The disclosed embodiments may implement process 300 such that thedisclosed embodiments may monitor a plurality of ATMs to determinewhether one or more skimming devices are present on the ATMs. In certainaspects, the disclosed embodiments may be configured to generate andstore data related to multiple skimming devices detected at respectiveATMs, at a central location, such as skimmer RF detection server 130.For example, system 100 may be configured to use data gathered from aplurality of ATMs to identify skimmers (e.g., new, known, etc.) andstore that data for use by skimmer RF detection server 130 or by anothercomputing component that may be in communication with skimmer RFdetection server 130.

FIG. 4 is a flow chart demonstrating exemplary RF signal analysisprocess 400 consistent with disclosed embodiments. In one embodiment,skimmer RF detection server 130 may be configured to execute one or moreoperations of process 400 to analyze differences between baseline RFsignals and detected RF signals. In certain aspects, process 400 mayrelate to the processes associated with operation S340 of FIG. 3. Incertain embodiments, skimmer RF detection server 130 may execute one ormore algorithms to determine one or more baseline signals over a rangeof frequencies associated with the ATM (S410). For example, skimmer RFdetection server 130 may execute algorithms that may establish baselineswith confidence intervals for normal non-malicious background activity.New signals may be compared against that baseline and any incrementalsignal that is statistically different from random Gaussian (RF static)noise may be flagged for additional analysis. Over time, false alarmsmay be cataloged for future identification and to minimize alerts fornon-malicious future RF emission sources. Skimmer RF detection server130 may also provide instructions to receiver 120 to collect RF signals115 from an area in proximity to an ATM through antenna 110 during apredetermined period of time when there is no interference fromelectronic devices, such as when the ATM is first installed. In someembodiments, skimmer RF detection server 130 may receive thepredetermined time period from another component, it may be provided viaa user using an input device, and/or it may be pre-stored in memory 233,which is accessible by processor 231. In response, receiver 120 maycollect these non-interference signals (e.g., baseline signals) andprovide them to skimmer RF detection server 130, Skimmer RF detectionserver 130 may store that information in one or more local or remotedatabases, such as, for example, databases located in memory 233. Asanother example, skimmer RF detection server 130 may be programmed withinformation related to the baseline signals (e.g., the RF signalsemitted by a particular type of ATM) for a plurality of ATMs such thatinformation related to the baseline signals are stored in memory (e.g.,in a database in memory 233) before skimmer RF detection server 130provides instructions to receiver 120 to collect RF signals from antenna110. In some embodiments, skimmer RF detection server 130 may receivethe information related to the baseline signals from another component,or it may be set, for example, by a device or component manufacturer, bya wireless network operator, or by a user of skimmer RF detection server130 and/or terminal 140 using an input device, In certain embodiments,server 130 may determine the particular type of ATM being monitoredbased on the identification information transmitted by receiver 120 toskimmer RF detection server 130. Skimmer RF detection server 130 mayalso compare the type of ATM being monitored to one or more entrieswithin the database to identify one or more database entries that matchthe type of ATM being monitored and may use the matching databaseentries to determine the baseline signals being used by the particularATM.

Skimmer RF detection server 130 may determine whether there are anydifferences between the baseline signals and one or more signal(s)detected by antenna 110 and provided by receiver 120, such as thesignals collected during operations S310-S330. For example, skimmer RFdetection server 130 may employ a spectrum analyzer that generatessignal amplitudes over various frequencies based on the detectedsignals. In another embodiment, skimmer RF detection server 130 mayexecute software instructions that perform spectrum analyzer operationsto generate signal amplitudes over various frequencies based on thedetected signals. Skimmer RF detection server 130 may be configured todetermine whether a skimmer device is present when one or more signalsexceed a threshold amplitude level. In certain aspects, skimmer RFdetection server 130 may be programmed with one or more amplitudethreshold levels that may be associated with anomalous operations of anATM. The threshold level of skimmer RF detection server 130 may be set,for example, by a device or component manufacturer, by a wirelessnetwork operator, by a user of skimmer RF detection server 130, and/orby a user of terminal 140. For instance, the threshold level may be setat an amplitude level determined to be appropriate to initiateinvestigation as to whether the ATM may include a skimmer device suchas, for example, an amplitude level 5% greater than the amplitude levelof the baseline signal(s).

Skimmer RF detection server 130 may be configured to determine, whenanalyzing the detected RF signals provided by receiver 120, whether theamplitude of the detected RF signals exceeds the threshold level. If so,skimmer RF detection server 130 may be configured to set a thresholdtimer to begin measuring the duration of the detected RF signal(s) whichexceed the threshold level. When the detected RF signal(s) no longerexceed the threshold level, skimmer RF detection server 130 may instructthe threshold timer to stop measuring the duration of the detected RFsignals(s) and to store information relation to the measurement of theduration (e.g., length of duration, time period(s) of duration, etc.) inmemory 233. Skimmer RF detection server 130 may also perform acomparison process that determines whether a difference exists betweenone or more baseline signals previously collected for the ATM and/orstored in memory and the detected signals associated with the ATM. Forexample, skimmer RF detection server 130 may compare one or morebaseline signals associated with the ATM to one or more detected signalsassociated with the ATM to determine whether one or more differencesexists in one or more frequency ranges of the compared signals. Asanother example, skimmer RF detection server 130 may compare theamplitude(s) of the one or more baseline signals associated with the ATMto the amplitude(s) of the detected signals associated with the ATM todetermine whether one or more differences exist in the amplitudes of thecompared signals. This comparison may utilize one or more types ofdisplays. For example, RF signals may be visualized and analyzed invarious frameworks. The signals may exhibit changes in the time andfrequency domains. A common “oscilloscope style” display may show nearreal-time changes in the amplitude at various frequencies. A “waterfall”display may show similar information but with an added time dimension byshowing changing amplitudes as varying colors on a graphical format thathas the appearance of a waterfall.

If there are one or more differences between the amplitudes and/orfrequencies of the baseline signals and the amplitudes and/orfrequencies of the detected signals, skimmer RF detection server 130 maydetermine whether the differences are present for a predetermined timeperiod (S440). For example, skimmer RF detection server 130 may comparethe duration of the detected RF signals measured by the threshold timerto the predetermined time period. In one embodiment, the predeterminedtime period may be a length of time greater than an average time for acustomer to initiate and complete a typical ATM transaction. In oneaspect, skimmer RF detection server 130 may receive the predeterminedtime period from another component, or it may be provided via a userusing an input device to program and/or store the predetermined timeperiod data in memory, which is accessible by processor 231 (forexample) for subsequent analysis in accordance with these embodiments.In one aspect, the software instructions executed by skimmer RFdetection server 130 may include processes that take into account thatskimmers are generally present on an ATM until retrieved by a person whoimplemented the skimmer on the ATM (e.g., a thief). Thus, in oneexample, skimmer RF detection server 130 may perform processes thatdetermine whether the unidentified RF signals associated with the ATMare emitted for a period of time that is longer than the typical timefor typical ATM transactions. For instance, one of ordinary skill in theart would appreciate that skimmers may emit RF signals for a period oftime that would be longer, and in some instances significantly longer,than the time it would take a customer to initiate and complete an ATMtransaction. Skimmer RF detection server 130 may be configured toaccount for changes in RF signals based on normal activities by or neara monitored ATM. For example, skimmer RF detection server 130 may beconfigured to determine whether detected different RF signals are notconstant or near constant for the predetermined time period, and if so,may determine that the signals likely have been generated by non-harmfulelectronic devices passing by the proximity of the ATM, such as acustomer's cellular phone. Thus in certain embodiments, if skimmer RFdetection server 130 determines that the differences in detected RFsignals are not present for a predetermined time period (e.g., stepS440; No), skimmer RF detection server 130 may determine that a skimmeris not in place at the ATM (e.g., step S430). In one embodiment, process400 may then restart the analysis for detecting a skimmer usingadditional and/or new detected signal information.

However, if skimmer RF detection server 130 determines that he differentRF signals associated with the ATM are constant, or near constant, forthe predetermined period of time, skimmer RF detection server 130 maydetermine that the signals were likely generated by a skimmer (e.g.,step S440; Yes). Skimmer RF detection server 130 may also be configuredto determine whether differences between the amplitude levels and/or thefrequencies of the baseline signals and the detected signals are presentin multiple frequency ranges during the predetermined time period (e.g.,step S450). In one aspect, skimmer RF detection server 130 may beconfigured to execute software instructions to perform processes thattake into account that skimmers generally emit RF signals in multiplefrequency ranges and thus determine that that it is likely that askimmer is present at the ATM if multiple frequencies are detectedduring the predetermined time period.

If skimmer RF detection server 130 determines that the differencesbetween the amplitude levels and/or the frequencies of the baselinesignals and the detected signals are present in multiple frequencyranges (e.g., step S450; Yes), skimmer RF detection server 130 maydetermine whether the frequency emissions match any known skimmerfrequencies (step S460). For example, skimmer RF detection server 130may be configured to perform one or more processes that request orobtain skimmer frequency data from one or more databases, such as knownskimmer RF database 234, and compare the detected frequency orcombination of frequencies associated with the detected RF signals withthe frequency or combination of frequencies of known skimmers stored inknown skimmer RF database 234. If the comparison results in a match(e.g., one or more frequencies of the detected RF signals match one ormore frequencies of known skimmers), skimmer RF detection server 130 maydetermine that the detected RF signals are generated by a known skimmerassociated with the known skimmer data (e.g., step S470). However, ifskimmer RF detection server 130's comparison fails to result in a match,skimmer RF detection server 130 may determine that the detectedfrequencies are being generated by an unknown skimmer (e.g., step S480).In one embodiment, skimmer RF detection server 130 may store thedetected frequencies of the RF signals and information related to thedetection (e.g., location information, time information, etc.) inunknown skimmer RF database 236 (e.g., step S490). The disclosedembodiments may later use the updated unknown skimmer frequency data toidentify and detect an unknown skimmer based on other detected RFsignals for the ATM or another ATM. Moreover, the disclosed embodimentsmay provide the unknown skimmer frequency data to another component foradditional analysis to identify the unknown skimmer based on othercharacteristics of the detected RF signals.

Almost all skimmer devices, video cameras, and keypad overlays have athree dimensional (3D) shape that alters the appearance of the ATM wheninstalled. Thus, the disclosed embodiments may use the change in the 3Dshape of the ATM to detect skimmer devices, video cameras, and keypadoverlays present on ATMs. To this end, an exemplary system may beconfigured to determine one or more baseline 3D images of an ATM and/ordetermine any differences between the baseline 3D image of the ATM andthe 3D image of the ATM with skimmer devices, video cameras, and/orkeypad overlays installed, The system may also determine whether skimmerdevices, video cameras, and/or keypad overlays are present based on thedetected 3D image, For example, the system may compare the detected 3Dimage to data contained in a known skimmer device, video camera, and/orkeypad overlay database to determine whether the detected 3D imagematches any known ATM skimmers, video cameras, and/or keypad overlaydatabases. As another example, the system may also determine that askimmer, video camera, and/or keypad overlay is present based on thelocation of the change in the 3D image of the ATM and/or the period oftime that the change is detected. As yet another example, the system mayalso detect motion around the ATM so that 3D images are not capturedwhen motion is detected or for a certain time after motion is detected.By avoiding capturing 3D images of the ATM when motion is detected(e.g., when a customer is using the ATM), false alarms may be reduced.

FIG. 5 is a block diagram of exemplary unauthorized device detectionsystem 500 consistent with disclosed embodiments, System 500 may beimplemented in a number of different configurations without departingfrom the scope of the disclosed embodiments. In the embodiment shown inFIG. 5, system 500 may include a 3D scanner adapted to transmit andreceive light signals for the detection of the 3D shape of an object,e.g., ATM 501. 3D scanner 520 may also be configured with a camera thatmay be configured, for example, to capture images of objects. 3D scanner520 may be configured to analyze whether an unauthorized device ispresent, or it may transmit data for subsequent analysis to unauthorizeddevice detection server 530. System 500 may also include one or moreclient terminals 540-a to 540-n, and a network 550 for interconnectingone or more of 3D scanner 520, unauthorized device detection server 530,and client terminals 540-a to 540-n. While FIG. 5 shows only one 3Dscanner 520 and one unauthorized device detection server 530, system 500may include any number of 3D scanners 520 and unauthorized devicedetection servers 530.

3D scanner 520 may be any type of scanner capable of detecting the shapeof an object (e.g., the distance various points of an object are fromthe 3D scanner). 3D scanner 520 may be configured to detect the 3D shapeusing any suitable technique, for example, light coding, stereo imaging,time-of-flight, etc. In certain embodiments, 3D scanner 520 may be aKinect™ device. In certain embodiments, 3D scanner 520 may be configuredas a 3D camera with a light pattern transmitter (e.g., using infraredlight). 3D scanner 520 may be configured to project a pattern of lightfrom the light transmitter onto objects, capture an image of theprojected pattern of light, and then translate the distortions in thepattern into a 3D information (e.g., using the distortions to determinethe distance of various points in the scene from the 3D camera bycomparing the distortions to the known projected pattern). In certainembodiments, 3D scanner 520 may also include a video or photographiccamera to capture two dimensional images of the scene, for example, foruse in motion detection. The video or photographic camera may comprisean image sensor, e.g., a CMOS or CCD sensor, to capture two dimensionalimage data with an A/D converter to convert the analog image data intodigital pixel data. In certain embodiments, the components of the videoor photographic camera may be integrated with the components of the 3Dcamera (e.g., utilize the same aperture and/or the same processor,etc.).

In certain embodiments, 3D scanner 520 may be configured to transmit thedata on the shape of the object (e.g., the depth data) as digital datato unauthorized device detection server 530, e.g., via network 550. Incertain embodiments, 3D scanner 520 may be configured to includeidentification information, such as the time or location of the ATM,with the data on the shape of the object. If configured with a video orphotographic camera, 3D scanner 520 may transmit digital pixel data tounauthorized device detection server 530, e.g., via network 550.

Unauthorized device detection server 530 may be a computing system thatperforms various functions consistent with the disclosed embodiments. Insome embodiments, unauthorized device detection server 530 may beconfigured to process information received from 3D scanner 520, Forexample, unauthorized device detection server 530 may perform analyseson the data to determine whether an unauthorized device is present. Asanother example, unauthorized device detection server 530 may captureone or more data packets transmitted by 3D scanner 520 and decode thepackets' raw data, such as the identification information related to theATM. Unauthorized device detection server 530 may also generate and sendone or more alerts to one or more of client terminals 540-a through540-n. An exemplary embodiment of unauthorized device detection server530 is described further with respect to FIG. 6 and related text, andcertain functions that may be performed by unauthorized device detectionserver 530 are described in greater detail below with respect to, forexample, FIGS. 7-8.

Each client terminal 540 may be a computing system operated by a user.In one example, client terminal 540 may be a computing device configuredto perform one or more operations consistent with certain disclosedembodiments. For example, terminal 540 may be configured to generateand/or display alerts indicating that an unauthorized device has beendetected on one or more ATMs. Terminal 540 may be a desktop computer, alaptop, a server, a mobile device (e.g., tablet, smart phone, etc.), andany other type of computing device. Client terminal 540 may include oneor more processors configured to execute software instructions stored inmemory. The disclosed embodiments are not limited to any particularconfiguration of client terminal 540. For instance, as shown in FIG. 5(for simplicity, in terminal 540-a only), client terminal 540 mayinclude, for example, a processor 542, a memory 544, a display device546, and an interface device 548. Processor 542 may be one or moreprocessor devices, such as a microprocessor, or other similar processordevice(s) that executes program instructions to perform variousfunctions. Memory 544 may be one or more storage devices that maintaindata (e.g., instructions, software applications, etc.) used and/orexecuted by processor 542. Display device 546 may be any known type ofdisplay device that presents information to a client operating terminal540. Interface device 548 may be one or more known interface devicemodules that facilitate the exchange of data between the internalcomponents of client terminal 540 and external components, such asunauthorized device detection server 530. In one embodiment, interfacedevice 548 may include a network interface device that allows clientterminal 540 to receive and send data to and from network 550.

Network 550 may be any type of network that facilitates communicationbetween remote components, such as unauthorized device detection server530 and terminals 540-a to 540-n. For example, network 550 may be alocal area network (LAN), a wide area network (WAN), a virtual privatenetwork, a dedicated intranet, the Internet, and/or a wireless network.

The arrangement illustrated in FIG. 5 is exemplary and system 500 may beimplemented in a number of different configurations without departingfrom the scope of the disclosed embodiments. For example, components 520and 530 may be connected through other communication link(s), as opposedto being connected via network 550. In certain embodiments, components520 and 530 may be housed in the same device. Further additionalcomponents may be included in system 500, such as a connection to otherunauthorized device detection systems (e.g., skimmer detection systems)that may provide information to unauthorized device detection server530. Moreover, one or more of components 510, 520, 530, 540, and/or 550may be included in a single device or various combinations of devices.

FIG. 6 is a block diagram of exemplary unauthorized device detectionserver 530 consistent with disclosed embodiments. Unauthorized devicedetection server 530 may be implemented in various ways. For example,unauthorized device detection server 530 may be a special purposecomputer, a server, a mainframe computer, a computing device executingsoftware instructions that receive and process information and provideresponses, or any combination of those components. In one example, asshown in FIG. 6, unauthorized device detection server 530 may include aprocessor 610, a memory 620, storage 630, a network interface 640, andinput/output (I/O) devices (not shown).

Processor 610 may include one or more processors, such as knownprocessing devices, microprocessors, etc. configured to executeinstructions to perform operations. Memory 620 may include one or morestorage devices configured to store information used and/or executed byprocessor 610 to perform one or more operations related to disclosedembodiments. Storage 630 may include volatile or non-volatile, magnetic,semiconductor, tape, optical, removable, nonremovable, or any other typeof storage device or tangible computer-readable medium.

In some embodiments, memory 620 may include software instructions thatwhen executed by processor 610, perform operations consistent withdisclosed embodiments. For example, memory 620 may include softwareinstructions that when executed perform one or more unauthorized devicedetection processes consistent with disclosed embodiments. In oneexample, memory 620 may include comparator program 621, unauthorizeddevice matching program 623, and motion detector program 625. In oneembodiment, programs 621, 623, and 625 may be loaded from storage 630 oranother source component that, when executed by unauthorized devicedetection server 530, perform various procedures, operations, and/orprocesses consistent with disclosed embodiments.

For example, memory 620 may include a comparator program 621 thatperforms operations that may determine one or more differences betweenone or more baseline 3D images of a monitored ATM and a current 3D imageof an ATM (e.g., based on data stored in ATM 3D image database 650) and,based on the detected differences, determine whether an unauthorizeddevice is present on the ATM. In certain embodiments, comparator program621 may be configured to compare only certain areas of the monitored ATMto determine if unauthorized devices are present on the ATM (e.g.,comparing the area near the card reader, the keyboard area, and/orlikely locations of hidden cameras). In certain aspects, comparatorprogram 621 may be programmed with one or more difference thresholdlevels for detected differences. For example, comparator program 621 maybe programmed with baseline depth/shape data that is associated withvariances such that only differences that exceed the expected variancesor that are statistically significant are considered differences thatindicate the presence of an unauthorized device and/or possible damageto the ATM. As another example, the threshold level for detectingdifferences that indicate the presence of an unauthorized device and/orpossible damage to the ATM may be set, for example, by a device orcomponent manufacturer, by a wireless network operator, by a user ofunauthorized device detection server 530, and/or by a user of terminal540.

In certain embodiments, comparator program 621 may be configured totreat differences detected in certain locations differently fromdifferences noted in other locations. For example, comparator program621 may be configured to send information on a potential unauthorizeddevice for further processing by unauthorized device matching program623 (or may send an unauthorized device alert to terminal 540) if adifference is located near the card reader, the keyboard area, and/orlikely locations of hidden cameras, and comparator program 621 may beconfigured to send a possible damage alert to differences located atother areas of the ATM. In some embodiments, comparator 621 may beconfigured to transmit alerts and other data regarding the comparisonanalysis and the monitored ATM to client terminal 540. In someembodiments, comparator 621 may be configured to transmit alerts andother data regarding the monitored ATM to unauthorized device matchingprogram 623 for further analysis.

In some embodiments, memory 620 may include unauthorized device matchingprogram 623 that may compare information about potential unauthorizeddevices to information for known unauthorized devices. For example, ifcomparator program 621 sends depth/shape data for a potentialunauthorized device, unauthorized device matching program 623 maycompare the received depth/shape data to the depth/shape data of knownunauthorized devices (e.g., stored in known device database 660) todetermine if the detected unauthorized device matches a knownunauthorized device. In certain embodiments, if two-dimensional imagesare available for the monitored ATM, unauthorized device matchingprogram 623 may compare two dimensional images of the potentialunauthorized device to a database of two dimensional images of knowndevices to determine if the detected device is a known unauthorizeddevice. For example, unauthorized device matching program 623 may usethe location data for a potential unauthorized device detected bycomparator 621, locate the corresponding pixel data obtained by aphotographic or video camera (e.g., if 3D scanner 520 were configuredwith a photographic or video camera), and compare the two-dimensionalpixel data with a database of two-dimensional images of knownunauthorized devices, In certain embodiments, unauthorized devicematching program 623 may be configured to transmit an unauthorizeddevice alert and other information about the analysis and/or themonitored ATM to terminal 540 whether or not the device is matched to aknown device, but unauthorized device matching program 623 may indicatethat the device is a known device if the information about the devicematches the information for a known device (e.g., matches informationstored in known device database 660).

In some embodiments, memory 620 may include motion detector program 625.Motion detector program 625 may detect motion or object moving based ontwo dimensional images of the scene, e.g., using video motion detectionmethods. In certain embodiments, video motion or object detection may bedetermined by motion detector program 625 using 2D pixel data database660, which may store digital pixel information transmitted from 3Dscanner 520 (e.g., if 3D scanner 520 is configured with a video orphotographic camera). Video motion detection may be performed using anymethod known in the art. In certain embodiments, motion detector program625 may use other data (not shown) to detect motion. For example, system500 may be configured with a motion detector (not shown) that transmitsdata to motion detector 625 for analysis to determine if motion ispresent in the scene. The motion detector may be a passive infra-red(PIR) detector, a laser or other tripwire detector, an ultrasonicdetector, etc. One of ordinary skill in the art would understand thetypes of detectors that could be used to detect motion. In certainembodiments, when motion detector program 625 determines that motion hasbeen detected, it may directly or indirectly notify and/or causecomparator program 621 and/or unauthorized device matching program 623to pause or otherwise stop any analyzing of the ATM for unauthorizeddevices. For example, when a person is using the ATM, motion detectorprogram 625 may determine that there is motion in the scene and halt theprocesses for detecting unauthorized devices (halt the operations ofcomparator program 621 and/or unauthorized device matching program 623)until the motion is no longer detected. In certain embodiments, whenmotion detector 625 detects motion, it may directly or indirectly pauseor otherwise stop alerts from comparator program 621 and/or unauthorizeddevice matching program 623 from being transmitted to client terminal540. In certain embodiments, when motion detector 625 detects motion, itmay transmit a signal to halt 3D scanner 520 from scanning ATM 501 orfrom transmitting scanned information to unauthorized device detectionserver 530. One of ordinary skill in the art would understandadvantageous implementations of motion detection that would halt thesearch for unauthorized devices. By using motion detection to determinewhen a person or other object is moving in the scene, false alarms maybe reduced or eliminated.

Memory 620 may also include other programs that perform other functionsand processes, such as programs that provide communication support,Internet access, database access, and the like. Memory 620 may alsoinclude one or more interconnected information storage databases, suchas, for example, ATM 3D image database 660, known device database 660,unknown device database 670, and 2D pixel data database 690. Theinformation storage databases can be populated by any known methods. Forexample, server 530 may populate known device database 660 by receivingone or more database entries from another component, a wireless networkoperator, or a user of server 530 and/or terminal 540, and storing thedatabase entries into memory 620. The database entries can contain aplurality of fields, one or more of which may include informationrelated to known devices, such as, for example, device names, the shapeof the device, the color of the device, one or more images of theskimmer device, information related to disabling the particular device,and the like. While in the embodiment shown in FIG. 6 the informationstorage databases are interconnected, each information storage databaseneed not be interconnected. Moreover, rather than separate databases,server 530 may include only one database that includes the data ofdatabases 650, 660, 670, and 690. Memory 620, in conjunction withprocessor 610, may also he capable of accessing, creating and/orotherwise managing data remotely through network 550.

Methods, systems, and articles of manufacture consistent with disclosedembodiments are not limited to separate programs or computers configuredto perform dedicated tasks. For example, memory 620 may be configuredwith comparator program 621 that performs several processes whenexecuted by processor 610. For example, memory 620 may include a singleprogram 621 that performs the functions of the device detection system,or program 621 could comprise multiple programs. Moreover, processor 610may execute one or more programs located remotely from server 530. Forexample, sever 530 may access one or more remote programs that, whenexecuted, perform functions related to disclosed embodiments.

Memory 620 may also be configured with an operating system (not shown)that performs several functions well known in the art when executed byserver 530, By way of example, the operating system may be MicrosoftWindows, Unix, Linux, Apple Computer operating systems, or some otheroperating system. The choice of operating system, and even the use of anoperating system, is not critical to any embodiment.

Unauthorized device detection server 530 may include one or more I/Odevices (not shown) that allow data to be received and/or transmitted byunauthorized device detection server 530. I/O devices may also includeone or more digital and/or analog communication input/output devicesthat allow unauthorized device detection server 530 to communicate withother machines and devices, such as terminals 540-a to 540-n, Theconfiguration and number of input and/or output devices incorporated inI/O devices may vary as appropriate for certain embodiments.

FIG. 7 is a flow chart demonstrating exemplary process 700 for detectingunauthorized devices on ATMs based on 3D image analysis consistent withdisclosed embodiments. In certain aspects, one or more operations ofunauthorized device detection process 700 may be performed byunauthorized device detection server 530. One or more operations ofprocess 700 may be performed by other components of system 500, such as3D scanner 520, etc. In one embodiment, unauthorized device detectionserver 530 may execute software instructions to perform operations ofprocess 700 to detect one or more unauthorized devices that may bepresent on one or more ATMs. In one example, 3D scanner 520 may take abaseline scan of the shape of ATM 501 and transmit the scan tounauthorized device detection server 530, where unauthorized devicedetection server 530 may convert the scan information into digital dataregarding the baseline depth/shape of the ATM and store the digital dataas the baseline image data (S710). For example, 3D scanner 520 maycapture the reflection of a pattern of light projected by 3D scanner 520onto ATM 501, and transmit captured reflected light pattern tounauthorized device detection server 530. Unauthorized device detectionserver 530 may use the distortions in the captured reflected light todetermine the depth/shape data for ATM 501 and store that data for latercomparison.

3D scanner 520 may then scan ATM 501 at a later time (e.g., at time (t))and transmit that data to unauthorized device detection server 530,where unauthorized device detection server 530 may convert the scaninformation into digital data for ATM 501 at time (t) (S720). 3D scanner520 may be configured to scan ATM 501 at regular intervals (e.g., everysecond, every minute, each day at gam, etc.), or it may be configured toconstantly scan and transmit data to ATM 501. 3D scanner 520 may also beconfigured to suspend scanning ATM 501 if motion is detected (e.g., ifmotion detector 625 transmits information to 3D scanner 520 that motionhas been detected), and 3D scanner 520 may be configured to resumescanning ATM 501 once motion is no longer detected.

Unauthorized device detection server 530 may receive and store thedigital data for the baseline ATM depth/shape information and thedepth/shape information at time (t) in one or more memories, such as inATM 3D image database 650 of memory 620. Unauthorized device detectionserver 130 may execute software instructions that perform operations todetermine whether or not a skimmer is present on the ATM (S740). Thisdetermination is described in further detail with respect to FIG. 8. Ifunauthorized device detection server 530 determines that an unauthorizeddevice is present, unauthorized device detection server 530 may generatean alert (S750). In one embodiment, unauthorized device detection server530 may be configured to generate and provide an alert to one or moreterminals 540-a to 540-n. In certain aspects, unauthorized devicedetection server 530 may be configured to generate an alert to includeinformation associated with characteristics of the unauthorized device,the identity of the ATM where the unauthorized device was detected, etc.In certain aspects, 3D scanner 520 may provide identificationinformation associated with the ATM 501.

In one embodiment, unauthorized device detection server 530 may beconfigured to determine the type of detected unauthorized device. Forexample, unauthorized device detection server 530 may perform operationsthat determine whether the detected unauthorized device has one or morecharacteristics that match those of a known type of unauthorized devicethrough analysis of information stored in known device database 660. Insuch instances, unauthorized device detection server 530 may generate analert such that it includes unauthorized device related informationobtained, for example, from known device database 660. For example, ifunauthorized device detection server 530 has detected an unauthorizeddevice, unauthorized device detection server 530 may query known devicedatabase 660 to match the detected device to database entries of knowndevices in the known device database 660. If unauthorized devicedetection server 530 determines a match between the detected device anda database entry, unauthorized device detection server 530 may populatean alert template with information contained in the matching databaseentry and/or with information linked to the matching database entry. Forexample, in some embodiments, unauthorized device detection server 530may generate the alert such that it may include one or more images(e.g., digital picture, or the like) of the detected device, informationabout how to remove, disable, etc. the device, and the like. In certainembodiments, if unauthorized device detection server 530 has determinedthe detected device is an unknown device, unauthorized device detectionserver 530 may generate information in the alert that providesdirections on how a user may populate unknown device database 670 withinformation related to the unknown skimmer (e.g., how to inputinformation related to depth/shape or image information for theparticular device, how to create and/or upload one or more images and/ordepth/shape information for the particular device, how the user disabledthe particular device, and the like).

In certain aspects, if unauthorized device detection server 530determines that a device is not present (step 7340; No), unauthorizeddevice detection server 530 may not generate an alert (S760).

The disclosed embodiments may implement process 700 such that thedisclosed embodiments may monitor a plurality of ATMs 501 to determinewhether one or more unauthorized devices are present on the ATMs 501. Incertain aspects, the disclosed embodiments may be configured to generateand store data related to multiple unauthorized devices detected atrespective ATMs 501, at a central location, such as unauthorized devicedetection server 530. For example, system 500 may be configured to usedata gathered from a plurality of ATMs 501 to identify unauthorizeddevices (e.g., new, known, etc.) and store that data for use byunauthorized device detection server 530 or by another computingcomponent that may be in communication with unauthorized devicedetection server 530.

FIG. 8 is a flow chart demonstrating exemplary 3D image analysis process800 consistent with disclosed embodiments. In one embodiment,unauthorized device detection server 530 may be configured to executeone or more operations of process 800 to analyze differences betweenbaseline 3D image (e.g., depth shape) data and 3D image data detected ata later time. In certain aspects, process 800 may relate to theprocesses associated with operation S740 of FIG. 7. In certainembodiments, unauthorized device detection server 530 may execute one ormore algorithms to determine one or more baseline 3D images of ATM 501(S810). For example, unauthorized device detection server 530 mayexecute algorithms that may establish baseline depth/shape data withconfidence intervals for normal depth/shape readings. New 3D images maybe compared against that baseline and any readings that arestatistically different from the baseline shape/depth data may beflagged for additional analysis. Over time, false alarms may becataloged for future identification and to minimize further falsealarms. Unauthorized device detection server 530 may also provideinstructions to 3D scanner 520 to collect baseline scans of ATM 501during a predetermined period of time when there is no interference frommoving objects, such as when the ATM is first installed and when noperson or object is moving in the scene. Unauthorized device detectionserver 530 may store the baseline scan information in one or more localor remote databases, such as, for example, databases located in memory620. In some embodiments, unauthorized device detection server 530 mayreceive the depth/shape information for the baseline 3D image fromanother component, or it may be set, for example, by a device orcomponent manufacturer, by a wireless network operator, or by a user ofunauthorized device detection server 530 and/or terminal 540 using aninput device. In certain embodiments, unauthorized device detectionserver 530 may determine the particular type of ATM being monitoredbased on the identification information transmitted by 3D scanner 520 tounauthorized device detection server 530. Unauthorized device detectionserver 530 may also compare the type of ATM being monitored to one ormore entries within the database to identify one or more databaseentries that match the type of ATM being monitored and may use thematching database entries to determine the baseline depth/shape data forthe particular ATM.

Unauthorized device detection server 530 may determine if motion isdetected based on, for example, an analysis of two-dimensional imagedata transmitted by 3D scanner 520 (e.g., if 3D scanner 520 isconfigured with a video or photographic camera), or data transmittedfrom a motion detector (S820). If motion is detected (S820; Yes), thenunauthorized device detection server 530 may transmit a signal to 3Dscanner 520 that will stop or delay 3D scanner from scanning ATM 501(S830). Processes S820 and 5830 may continue until motion is no longerdetected (e.g., until S820; No). When motion is not detected (or nolonger detected), 3D scanner 520 may scan ATM 501 at time (t) andtransmit the information to unauthorized device detection server 530 forfurther analysis. Unauthorized device detection server 530 may convertthe data received from 3D scanner 520 into digital data to determine a3D image with depth/shape data for the ATM at time (t) and compare thatdata to the baseline 3D image data (S840). If no differences aredetected from the comparison, or if the differences detected are notstatistically significant or do not exceed a threshold set by the userfor detecting a difference, (S850; No), then unauthorized devicedetection server 530 may not transmit any alerts, or may transmit a noproblems detected alert to client terminal 540. Processes S820-S850 maycontinue until a difference is detected (or a difference that isstatistically significant or exceeds the threshold set by the user)(e.g., until S850; Yes).

When a sufficient difference is detected; unauthorized device detectionserver 530 may be configured to determine whether the difference islocated near the card reader, near the keypad, near a known unauthorizedvideo camera location, or at any location where an unauthorized devicemay be located (S860). If the difference is not located where anunauthorized device may be located (S860; No), then unauthorized devicedetection server 530 may be configured to transmit a possible damagealert to client terminal 540 (S870). If the differences are locatedwhere an unauthorized device may be located (S860; Yes), thenunauthorized device detection server 530 may be configured to attempt tomatch the depth/shape data and/or image data corresponding to thelocation of the detected device to known depth/shape and/or image data(S880). If the data for the detected device matches data for a knowndevice (e.g., data stored in known device database 660) (S880; Yes),then unauthorized device detection server 530 may be configured totransmit a known unauthorized device alert to client terminal 540. Ifthe differences do not match a known unauthorized device (S880; No),unauthorized device detection server 530 may be configured to transmitan unknown unauthorized device alert to client terminal 540 (S895).Unauthorized device detection server 530 may also be configured to storethe 3D image data and/or two-dimensional image data for the unknownunauthorized device (e.g., stored the data in unknown device database670). The disclosed embodiments may provide the unknown depth/shape datato another component for additional analysis to identify the unknowndevice. In certain embodiments, some or all of the alerts (e.g., the noproblem alerts, possible damage alerts, known unauthorized devicealerts, and/or unknown unauthorized device alerts) may be transmittedwith information related to the detection (e.g., location of the ATMinformation, location of the differences detected on the ATMinformation, images of the ATM or the detected device, time information,etc.).

FIG. 9 is a block diagram of exemplary combined RF/3D detection system900, consistent with disclosed embodiments. System 900 may beimplemented in a number of different configurations without departingfrom the scope of the disclosed embodiments. In the embodiment as shownin FIG. 9, system 900 may comprise signals 115, antenna 110, andreceiver 120, as described above with respect to FIG. 1. System 900 mayalso comprise 3D scanner 520, as described above with respect to FIG. 5.System 900 may also comprise network 950 and terminals 940-a to 940-n,which are consistent with and provide the functionalities describedabove with respect to networks 150 and 550 and terminals 140-a to 140-nand 540-a to 540-n. Combined RF/3D detection server 930 may beconsistent with and provide the functionalities described above withrespect to skimmer RF detection server 130 of FIGS. 1 and 2 andunauthorized device detection server 530 of FIGS. 5 and 6. CombinedRF/3D detection server 930 is described further with respect to FIG. 10below.

FIG. 10 is a block diagram of exemplary combined RF/3D detection server930 consistent with disclosed embodiments. As shown in the embodimentprovided in FIG. 10, the combined RF/3D detection server 930 maycomprise processor 1010, memory 1020, storage 1030, and networkinterface 1040, which are consistent with and provide similarfunctionalities to processors 231 and 610, memories 233 and 620, storage235 and 630, and network interfaces 237 and 640. Memory 1020 maycomprise skimmer RF detection program 232 and associated known skimmerRF database 234, unknown RF database 236, and detected RF signalsdatabase 238, as described above with respect to FIG. 2. Memory 1020 mayalso comprise comparator program 621, unauthorized device matchingprogram 623, and motion detector program 625 and associated ATM 3D imagedatabase 650, known device database 660, unknown device database 670,and 2D pixel data database 690, as described above with respect to FIG.6.

In addition to the functionalities described above with respect toskimmer RF detection server 130 and unauthorized device detection server530, combined RF/3D detection server may be configured to createcombined detection processes. Examples of exemplary combined detectionprocesses are provided in FIGS. 11-12.

HG. 11 is a flow chart demonstrating exemplary process 1100 fordetecting unauthorized devices on ATMs, including ATM skimmers, and/orpossible damage to ATMs based on RF and 3D detection consistent withdisclosed embodiments. In certain aspects, one or more operations ofcombined RF/3D detection process 1100 may be performed by combined RF/3Ddetection server 930. One or more operations of process 1100 may beperformed by other components of system 900, such as receiver 120, 3Dscanner 520, etc. In one embodiment, combined RF/3D detection server 930may execute software instructions to perform operations of process 1100to detect one or more skimmer and/or unauthorized devices that may bepresent on one or more ATMs. After detecting and storing baseline RFsignals and 3D image data (S1110), combined RF/3D detection server 930may be configured to monitor RF signals (S1120), for example, usingprocesses consistent with those described with respect to FIGS. 3 and 4.If RF signals indicating a skimmer is present are not detected bycombined RF/3D detection server 930 (S1130; No), no alert may begenerated (S1140), and combined RF/3D detection server 930 may continueto monitor RF signals (e.g., S1120). If combined RF/3D detection server930 detects RF signals that indicate a skimmer is present, combinedRF/3D detection server 930 may be configured to determine the current 3Dimage of the monitored ATM and compare the current depth/shape data tothe baseline 3D image data for the ATM (S1150), for example, usingprocesses consistent with those described with respect to FIGS. 7 and 8.If the differences in the 3D image data indicates an unauthorized deviceor possible damage may be present (S1160: Yes), an alert may begenerated (S1170) and transmitted to client terminal 940. If the 3Dimage data does not indicate an unauthorized device or possible damagepresent (S1160; No), no alert may be generated (S1180). In certainembodiments, if the RF signals indicate that a skimmer may be presentbut the 3D image data does not indicate an unauthorized device ispresent, an alert may be generated indicating that only RF signalsindicate a skimmer is present. One of ordinary skill in the art wouldunderstand the various alerts that would be advantageous for combinedRF/3D detection server 930 to generate and transmit. In addition, alertsmay be transmitted with other information about the detection (e.g.,location of the ATM information, one or more images of the ATM, timeinformation, etc.).

FIG. 12 is a flow chart demonstrating exemplary process 1200 fordetecting unauthorized devices on ATMs, including ATM skimmers, and/orpossible damage to ATMs based on 3D and RF detection consistent withdisclosed embodiments. In certain aspects, one or more operations ofcombined RF/3D detection process 1200 may be performed by combined RF/3Ddetection server 930. One or more operations of process 1200 may beperformed by other components of system 900, such as receiver 120, 3Dscanner 520, etc. In one embodiment, combined RF/3D detection server 930may execute software instructions to perform operations of process 1200to detect one or more skimmer and/or unauthorized devices that may bepresent on one or more ATMs. After detecting and storing baseline RFsignals and 3D image data (S1210), combined RF/3D detection server 930may be configured to monitor 3D image data (S1220) for example, usingprocesses consistent with those described with respect to FIGS. 7 and 8.If 3D image data indicates that an unauthorized device or possibledamage is not present (S1130; No), no alert may be generated (S1240),and combined RF/3D detection server 930 may continue to monitor 3D imagedata (e.g., S1220). If combined RF/3D detection server 930 detectsdifferences in 3D image data that indicate an unauthorized device orpossible damage is present, combined RF/3D detection server 930 may beconfigured to determine the current RF signals present near themonitored ATM and compare the current RF signals to the baseline RFsignals for the ATM (S1250), for example, using processes consistentwith those described with respect to FIGS. 3 and 4. If the differencesin the RF signal comparison indicates a skimmer may be present (S1260;Yes), an alert may be generated (S1270) and transmitted to clientterminal 940. If the RF signals do not indicate a skimmer is present(S1260; No), no alert may be generated (S1280). In certain embodiments,if the 3D image data indicates that an unauthorized device or possibledamage may be present but the RF signals do not indicate a skimmer ispresent, an alert may be generated indicating that only 3D image dataindicates an unauthorized device or possible damage present. One ofordinary skill in the art would understand the various alerts that wouldbe advantageous for combined RF/3D detection server 930 to generate andtransmit. In addition, alerts may be transmitted with other informationabout the detection (e.g., location of the ATM information, one or moreimages of the ATM, time information, etc.).

The disclosed embodiments may include methods, systems, andcomputer-readable storage media that provide skimmer detection processesfor detecting skimrner(s), unauthorized devices, and/or possible damagefor ATMs using incidental RF signal emissions and/or 3D image data. Forpurposes of explanation only, certain aspects and embodiments aredescribed herein with reference to the components illustrated in FIGS.1-12. The functionality of the illustrated components may overlap,however, and may be present in a fewer or greater number of elements andcomponents, Further, all or part of the functionality of the illustratedelements may co-exist or be distributed among several geographicallydispersed locations. Moreover, the disclosed embodiments may beimplemented in various environments and are not limited to theillustrated embodiments.

Further, the sequence of operations described in connection with FIGS.3-4, 7-8, and 11-12 are exemplary and not intended to be limiting.Additional or fewer operations or combinations of operations may be usedor may vary without departing from the scope of the disclosedembodiments. For example, skimmer RF detection server 130 of system 100may determine that a skimmer is present at an ATM using one or more ofoperations S420, S440, S450, and/or S460 of FIG. 4; unauthorized devicedetection server 530 of system 500 may determine that an unauthorizeddevice or possible damage is present at an ATM using one or more ofoperations S820, S850, S860, and/or S880 of FIG. 8; and combined RF/3Dserver 930 of system 900 may determine that a skimmer, an unauthorizeddevice, and/or possible damage is present at an ATM using one or more ofoperations S420, S440, S450, S460, S820, S850, S860, S880, S1130 S1160,S1230, and/or S1260. Combined RF/3D server 930 of system 900 may beconfigured to direct receiver 120 to the location of a potential skimmeridentified based on 3D image analysis. Components 110, 120, and 130 ofsystem 100 may be combined into a single device or may be directlyconnected without the use of network 150. Components 520 and 530 may becombined into a single device or may be directly connected without theuser of network 550. Components 110, 120, 520, and 930 may be combinedinto a single device or may be directly connected without the use ofnetwork 950. Motion detection devices, video cameras, and/orphotographic cameras, such as those described in relation to system 500and 3D scanner 520, may be used in systems similar to systems 100 and/or900. Furthermore, the disclosed embodiments need not perform thesequence of operations in any particular order, including those shown inFIGS. 3, 4, 7, 8, 11, and 12, and other operations may be used withoutdeparting from the scope of the disclosed embodiments. Also, theprocesses described herein are not inherently related to any particularsystem or apparatus and may be implemented by any suitable combinationof components.

Other aspects of the disclosed embodiments will be apparent to thoseskilled in the art from consideration of the specification and practiceof the disclosed embodiments. It is intended that the specification andexamples be considered as exemplary only, with exemplary scopes of thedisclosed embodiments being indicated by the following claims.

1. A system for detecting ATM skimmers comprising: a memory storinginstructions; and one or more processors that execute the instructionsto perform one or more operations for detecting ATM skimmers, theoperations including: receiving radio frequency (RF) signal datacorresponding to one or more detected RF signals emitted by an ATM anddetected by an antenna located within communication range of the ATM,determining one or more unidentified RF signals of the detected ATM RFsignals that differ from one or more baseline RF signals, determiningwhether the one or more unidentified RF signals are present for apredetermined period of time, and determining whether a skimmer ispresent at the ATM based on a determination that the one or moreunidentified RF signals are present for the predetermined period oftime.
 2. The system of claim 1, the operations further including:determining whether the skimmer is present at the ATM based on whetheran amplitude of the detected RF signals exceeds a threshold level. 3.The system of claim 1, the operations further including: determiningwhether the skimmer is present at the ATM based on a determination thatthe one or more unidentified RF signals match one or more RF signals ofa known skimmer.
 4. The system of claim 3, the operations furtherincluding: storing the unidentified RF signals in a memory when it isdetermined that the one or more unidentified RF signals do not match theone or more RF signals of the known skimmer.
 5. The system of claim 4,the operations further including: determining whether the skimmer ispresent at the ATM based on a determination that the one or moreunidentified RF signals match one or more RF signals of an unknownskimmer.
 6. The system of claim 3, the operations further including:generating an alert when it is determined that the skimmer is present atthe ATM, wherein the alert comprises a location of the ATM.
 7. Thesystem of claim 6, wherein: if it is determined that the one or moreunidentified RF signals match the one or more RF signals of the knownskimmer, the alert further comprises at least one of a name of the knownskimmer, an image of the known skimmer, and information about how todisable the known skimmer; and if it is determined that the one or moreunidentified RF signals do not match the one or more RF signals of theknown skimmer, the alert further includes instructions for obtaininginformation related to the skimmer.
 8. The system of claim 1, theoperations further including: determining one or more frequenciesassociated with the one or more unidentified RF signals; determining oneor more frequencies associated with the one or more baseline RF signals;determining one or more differences between the one or more frequenciesassociated with the one or more unidentified RF signals and the one ormore frequencies associated with the one or more baseline RF signals;and determining whether the skimmer is present at the ATM based on adetermination that there is a plurality of differences between the oneor more frequencies associated with the one or more unidentified RFsignals and the one or more frequencies associated with the one or morebaseline RF signals.
 9. The system of claim 1, the operations furtherincluding: determining one or more amplitudes associated with the one ormore unidentified RF signals; determining one or more amplitudesassociated with the one or more baseline RF signals; determining one ormore differences between the one or more amplitudes associated with theone or more unidentified RF signals and the one or more amplitudesassociated with the one or more baseline RF signals; and determiningwhether the skimmer is present at the ATM based on a determination thatthere is a plurality of differences between the one or more amplitudesassociated with the one or more unidentified RF signals and the one ormore amplitudes associated with the one or more baseline RF signals. 10.A computer-implemented method for detecting ATM skimmers comprising:receiving, by a computing device, radio frequency (RF) signal datacorresponding to one or more detected RF signals emitted by an ATM anddetected by an antenna located within communication range of the ATM;determining, by the computing device, one or more unidentified RFsignals of the detected ATM RF signals that differ from one or morebaseline RF signals; determining, by the computing device, whether theone or more unidentified RF signals are present for a predeterminedperiod of time; and determining, by the computing device, whether askimmer is present at the ATM based on a determination that the one ormore unidentified RF signals are present for the predetermined period oftime.
 11. The method of claim 10 further comprising: determining, by thecomputing device, whether the skimmer is present at the ATM based onwhether an amplitude of the detected RF signals exceeds a thresholdlevel.
 12. The method of claim 10 further comprising: determining, bythe computing device, whether the skimmer is present at the ATM based ona determination that the one or more unidentified RF signals match oneor more RF signals of a known skimmer.
 13. The method of claim 12further comprising: storing, by the computing device, the unidentifiedRF signals in a memory when it is determined that the one or moreunidentified RF signals do not match the one or more RF signals of theknown skimmer.
 14. The method of claim 13 further comprising:determining, by the computing device, whether the skimmer is present atthe ATM based on a determination that the one or more unidentified RFsignals match one or more RF signals of an unknown skimmer.
 15. Themethod of claim 12 further comprising: generating, by the computingdevice, an alert when it is determined that the skimmer is present atthe ATM, wherein the alert comprises a location of the ATM.
 16. Themethod of claim 15 further comprising: determining, by the computingdevice, that the one or more unidentified RF signals match the one ormore RF signals of the known skimmer; and generating the alert such thatthe alert includes at least one of a name of the known skimmer, an imageof the known skimmer, and information about how to disable the knownskimmer.
 17. The method of claim 15 further comprising: determining, bythe computing device, that the one or more unidentified RF signals donot match the one or more RF signals of the known skimmer; andgenerating the alert such that the alert includes information forpresenting to a user.
 18. The method of claim 10 further comprising:determining, by the computing device, one or more frequencies associatedwith the one or more unidentified RF signals; determining, by thecomputing device, one or more frequencies associated with the one ormore baseline RF signals; determining, by the computing device, one ormore differences between the one or more frequencies associated with theone or more unidentified RF signals and the one or more frequenciesassociated with the one or more baseline RF signals; and determining, bythe computing device, whether the skimmer is present at the ATM based ona determination that there are a plurality of differences between theone or more frequencies associated with the one or more unidentified RFsignals and the one or more frequencies associated with the one or morebaseline RF signals.
 19. The method of claim 10, further comprising:determining, by the computing device, one or more amplitudes associatedwith the one or more unidentified RF signals; determining, by thecomputing device, one or more amplitudes associated with the one or morebaseline RF signals; determining, by the computing device, one or moredifferences between the one or more amplitudes associated with the oneor more unidentified RF signals and the one or more amplitudesassociated with the one or more baseline RF signals; and determining, bythe computing device, whether the skimmer is present at the ATM based ona determination that there are a plurality of differences between theone or more amplitudes associated with the one or more unidentified RFsignals and the one or more amplitudes associated with the one or morebaseline RF signals.
 20. A non-transitory computer-readable storagemedium encoded with instructions which, when executed by a processor,perform a process for detecting ATM skimmers, the process comprising:processing radio frequency (RF) signal data corresponding to one or moredetected RF signals emitted by an ATM and detected by an antenna locatedwithin communication range of the ATM; determining one or moreunidentified RF signals of the detected ATM RF signals that differ fromone or more baseline RF signals; determining whether the one or moreunidentified RF signals are present for a predetermined period of time;and determining whether a skimmer is present at the ATM based on adetermination that the one or more unidentified RF signals are presentfor the predetermined period of time.
 21. A system for detectingunauthorized devices on an ATM comprising: a memory storinginstructions; and one or more processors that execute the instructionsto perform one or more operations for detecting unauthorized devices onthe ATM, the operations including: capturing 3D image data for the ATM,wherein the 3D image data comprises shape data for the ATM, determiningone or more differences between the detected shape data and baselineshape data for the ATM, comparing the location of the determined one ormore differences to known locations for unauthorized devices, anddetermining whether an unauthorized device is present at the ATM basedon a determination that the one or more differences are located at aknown location for unauthorized devices.
 22. The system of claim 21,wherein the 3D image data is captured when motion is not detected nearthe ATM.
 23. The system of claim 21, the operations further including:determining whether the unauthorized device is a known authorized devicebased on a comparison of the detected shape data to the shape data of aknown unauthorized device.
 24. The system of claim 23, the operationsfurther including: storing the shape data for the unauthorized device ina memory when it is determined that the shape data does not match theshape data of a known device.
 25. The system of claim 21, the operationsfurther including: generating an alert when it is determined that anunauthorized device is present at the ATM, wherein the alert comprises alocation of the ATM.
 26. The system of claim 25, wherein: if it isdetermined that the shape data for one or more unauthorized devicesmatches the shape data for one or more known devices, the alert furthercomprises at least one of a name of the known device, an image of theknown device, and information about how to disable the known device; andif it is determined that the shape data for one or more unauthorizeddevices does not match the shape data for one or more known devices, thealert further includes instructions for obtaining information related tothe unauthorized device.
 27. A system for detecting ATM skimmerscomprising: a memory storing instructions; and one or more processorsthat execute the instructions to perform one or more operations fordetecting ATM skimmers, the operations including: receiving radiofrequency (RF) signal data corresponding to one or more detected RFsignals emitted by an ATM and detected by an antenna located withincommunication range of the ATM, determining one or more unidentified RFsignals of the detected ATM RF signals that differ from one or morebaseline RF signals, determining whether the one or more unidentified RFsignals are present for a predetermined period of time, determiningwhether a potential skimmer is present at the ATM based on adetermination that the one or more unidentified RF signals are presentfor the predetermined period of time, capturing 3D image data for theATM, wherein the 3D image data comprises shape data for the ATM,determining one or more differences between the detected shape data andbaseline shape data for the ATM, comparing the location of thedetermined one or more differences to known locations for unauthorizeddevices, determining whether an potential unauthorized device is presentat the ATM based on a determination that the one or more differences islocated at a known location for unauthorized devices; and generating analert when it is determined that a potential skimmer and a potentialunauthorized device is present at the ATM.